% =============== Traditional
@inproceedings{koch2015siamese,
  title={Siamese neural networks for one-shot image recognition},
  author={Koch, Gregory and Zemel, Richard and Salakhutdinov, Ruslan},
  booktitle={ICML deep learning workshop},
  volume={2},
  year={2015}
}

@inproceedings{sung2018learning,
  title={Learning to compare: Relation network for few-shot learning},
  author={Sung, Flood and Yang, Yongxin and Zhang, Li and Xiang, Tao and Torr, Philip HS and Hospedales, Timothy M},
  booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
  pages={1199--1208},
  year={2018}
}

@inproceedings{vinyals2016matching,
  title={Matching networks for one shot learning},
  author={Vinyals, Oriol and Blundell, Charles and Lillicrap, Timothy and Wierstra, Daan and others},
  booktitle={Advances in neural information processing systems},
  pages={3630--3638},
  year={2016}
}

@inproceedings{cai2018memory,
  title={Memory matching networks for one-shot image recognition},
  author={Cai, Qi and Pan, Yingwei and Yao, Ting and Yan, Chenggang and Mei, Tao},
  booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
  pages={4080--4088}, year={2018}
}

@inproceedings{snell2017prototypical,
  title={Prototypical networks for few-shot learning},
  author={Snell, Jake and Swersky, Kevin and Zemel, Richard},
  booktitle={Advances in Neural Information Processing Systems},
  pages={4077--4087},
  year={2017}
}

% ========== supervised
@InProceedings{lifchitz2019dense,
author = {Lifchitz, Yann and Avrithis, Yannis and Picard, Sylvaine and Bursuc, Andrei},
title = {Dense Classification and Implanting for Few-Shot Learning},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}

@inproceedings{allen2019infinite,
  title={Infinite Mixture Prototypes for Few-shot Learning},
  author={Kelsey R. Allen and Evan Shelhamer and Hanul Shin and Joshua B. Tenenbaum},
  booktitle={ICML},
  year={2019}
}

@inproceedings{oreshkin2018tadam,
  title={Tadam: Task dependent adaptive metric for improved few-shot learning},
  author={Oreshkin, Boris and L{\'o}pez, Pau Rodr{\'\i}guez and Lacoste, Alexandre},
  booktitle={Advances in Neural Information Processing Systems},
  pages={721--731},
  year={2018}
}%TADAM finetune backbone

@inproceedings{Yoon2019TapNetNN,
  title={TapNet: Neural Network Augmented with Task-Adaptive Projection for Few-Shot Learning},
  author={Sung Whan Yoon and Jun Seo and Jaekyun Moon},
  booktitle={ICML},
  year={2019}
}%TapNet


% GNN based
@inproceedings{
liu2018learning,
title={Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning},
author={Yanbin Liu and Juho Lee and Minseop Park and Saehoon Kim and Eunho Yang and Sungju Hwang and Yi Yang},
booktitle={International Conference on Learning Representations},
year={2019},
url={https://openreview.net/forum?id=SyVuRiC5K7},
}

@InProceedings{Kim2019EdgelabelingGN,
  author = {Kim, Jongmin and Kim, Taesup and Kim, Sungwoong and Yoo, Chang D.},
  title = {Edge-Labeling Graph Neural Network for Few-Shot Learning},
  booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  month = {June},
  year = {2019}
}

@inproceedings{Luo2020LearningFT,
  title={Learning from the Past: Continual Meta-Learning with Bayesian Graph Neural Networks},
  author={Yadan Luo and Zi Huang and Zheng Zhang and Ziwei Wang and Mahsa Baktashmotlagh and Yang Yang},
  booktitle={AAAI 2020},
  year={2020}
} % note that this work is wrong (verified!!), be carefule to cite it

%enhance prototypes
@inproceedings{Li2019RevisitingLD,
  title={Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning},
  author={Wenbin Li and Lei Wang and Jinglin Xu and Jing Huo and Yang Gao and Jiebo Luo},
  booktitle={CVPR},
  year={2019}
}

@InProceedings{Li_2019_ICCV,
  author = {Li, Aoxue and Luo, Tiange and Xiang, Tao and Huang, Weiran and Wang, Liwei},
  title = {Few-Shot Learning With Global Class Representations},
  booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
  month = {October},
  year = {2019}
}

% cross-modality
@inproceedings{Xing2019AdaptiveCF,
  title={Adaptive Cross-Modal Few-Shot Learning},
  author={Chen Xing and Negar Rostamzadeh and Boris N. Oreshkin and Pedro H. O. Pinheiro},
  booktitle={NeurIPS},
  year={2019}
}

@article{Schwartz2019BabyST,
  title={Baby steps towards few-shot learning with multiple semantics},
  author={Eli Schwartz and Leonid Karlinsky and Rog{\'e}rio Schmidt Feris and Raja Giryes and Alex M. Bronstein},
  journal={ArXiv},
  year={2019},
  volume={abs/1906.01905}
}

@article{Peng2019FewShotIR,
  title={Few-Shot Image Recognition With Knowledge Transfer},
  author={Zhimao Peng and Zechao Li and Junge Zhang and Yan Li and Guo-Jun Qi and Jinhui Tang},
  journal={2019 IEEE/CVF International Conference on Computer Vision (ICCV)},
  year={2019},
  pages={441-449}
}
